ustats: R Interface to Python Tools for Computing Higher-Order U-Statistics

Provides an R interface to the Python package 'u-stats' <https://pypi.org/project/u-stats/> for efficient computation of higher-order U-statistics using Einstein summation notation, implementing the methods of Chen, Zhang, and Liu (2025) <doi:10.48550/arXiv.2508.12627>. The package automatically converts R objects to 'NumPy' or 'PyTorch' tensors via 'reticulate' and supports GPU acceleration when 'PyTorch' with 'CUDA' is available. Python dependencies are declared via 'reticulate' and can be installed automatically on first use. Designed for large-scale statistical estimation where numerical stability and performance are critical.

Version:	0.1.5
Imports:	reticulate (≥ 1.41)
Suggests:	knitr, rmarkdown, rstudioapi, testthat (≥ 3.0.0)
Published:	2026-06-18
DOI:	10.32614/CRAN.package.ustats
Author:	Xingyu Chen [aut, cre], Ruiqi Zhang [aut], Lin Liu [aut]
Maintainer:	Xingyu Chen <xingyuchen0714 at sjtu.edu.cn>
BugReports:	https://github.com/cxy0714/U-Statistics-R/issues
License:	MIT + file LICENSE
URL:	https://github.com/cxy0714/U-Statistics-R, https://pypi.org/project/u-stats/
NeedsCompilation:	no
SystemRequirements:	Python (>= 3.11); Python packages: u-stats, numpy, torch (installed automatically on first use, or via setup_ustats())
Language:	en-US
Materials:	NEWS
CRAN checks:	ustats results

Documentation:

Reference manual:	ustats.html , ustats.pdf
Vignettes:	Getting started with ustats (source, R code)

Downloads:

Package source:	ustats_0.1.5.tar.gz
Windows binaries:	r-devel: ustats_0.1.5.zip, r-release: ustats_0.1.5.zip, r-oldrel: ustats_0.1.5.zip
macOS binaries:	r-release (arm64): ustats_0.1.5.tgz, r-oldrel (arm64): ustats_0.1.5.tgz, r-release (x86_64): ustats_0.1.5.tgz, r-oldrel (x86_64): ustats_0.1.5.tgz

Reverse dependencies:

Reverse imports:

HOIF

Linking:

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